Artificial intelligence-based prediction of treatment failure and medication non-adherence in overactive bladder management
Our artificial intelligence model effectively identifies patients at risk of treatment failure and medication non-adherence in overactive bladder management. This approach enables early identification of high-risk patients, potentially improving treatment outcomes and healthcare resource utilization through timely intervention and treatment modification.
Authors
- Mert Başaranoğlu (ORCID: https://orcid.org/0000-0002-9873-4920)
- Hasan Erdal Doruk (ORCID: https://orcid.org/0000-0001-5671-9602)
- Erdem Akbay (ORCID: https://orcid.org/0000-0001-7669-414X)
- I. Tasdemir
Institutions
- Mersin Üniversitesi (TR)
Publication Details
- Journal
- BMC Urology
- Published
- 2025-08-21
- DOI
- https://doi.org/10.1186/s12894-025-01911-7
- Citations
- 1
- Primary Topic
- Urinary Bladder and Prostate Research
- Type
- article
- Field-Weighted Citation Impact
- 1.84
Funders
- Mersin Üniversitesi